Aerospace Engineer, Mathematician, Computer Scientist or similar (f/m/x)


The Institute of Aerodynamics and Flow Technology is a leading research institute in the field of aerodynamics/aeroacoustics of airplanes and aerothermodynamics of space vehicles. The main activity of the C²A²S²E department (Center for Computer Applications in AeroSpace Science and Engineering) is the development of numerical methods and processes for the multi-disciplinary simulation and optimization of aircraft - from flight physics design to virtual certification.

We develop physical models for complex flows and cutting-edge solution algorithms, efficient optimization strategies covering all relevant disciplines, as well as surrogate models based on high-fidelity methods. The customization of numerical methods for optimal efficiency on high-performance computer clusters is of particular importance to the department. The flow-solvers being developed at C²A²S²E are routinely used for a wide range of applications in academia, research and industry throughout Germany and Europe.

Your main task is to contribute to the development and implementation of a collaborative, multidisciplinary capability for the aerothermal analysis and optimization of surface heat exchangers for electric aircraft. You will focus on studying the interactions of the surface with the outer flow field and the weight saving design of the internal structure with integrated cooling channels. By implementing and validating mixed-integer optimization algorithms, you will explore, characterize and exploit the design space, while the couplings remain present to exploit the interactions between the disciplines in terms of a tradeoff. To perform multidisciplinary analysis of the flow and heat transport processes, you will setup and execute coupled numerical simulations using one of DLR’s flow solvers and the corresponding structural solver to simulate the heat exchange. Finally, you will apply the framework to the use cases, including a Blended-Wing-Body configuration. The developed capabilities will become part of DLR's toolbox for surrogate modeling, SMARTy, and will be presented or published at conferences as well as in peer-reviewed journals.

The position is part of the SE²A - Sustainable and Energy-Efficient Aviation Cluster of Excellence (for more information please visit www.tu-braunschweig.de/en/se2a) and all activities are pursued in close cooperation with other partners in the cluster. It is possible to pursue a doctoral / PhD degree.

  • university degree (Master / diploma) in the natural sciences (e.g. mathematics, computer science) or engineering (e.g. aerospace engineering) or other courses of study relevant to the job
  • good knowledge in the field of aerodynamics and numerical flow simulation
  • practical experience in developing software in python
  • ability to work independently as well as within a small-sized, agile team
  • proficient communication skills in English, both written and spoken
  • knowledge in the field of numerical optimization is an advantage
  • knowledge and experience in numerical methods and scientific computing desirable
  • ideally knowledge of aircraft aerodynamics and aerothermodynamics
  • basic knowledge in the field of multidisciplinary analysis and optimization advantageous
  • experience in developing and applying surrogate or reduced order models is welcome

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x).Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.





DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt



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Deadline: 2023-04-09
Location: Germany, Braunschweig
Categories: Aerospace Engineering, Computer Engineering, Computer Sciences, Engineering, Mathematician, Mathematics, Natural Science, Scientific Computing,

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